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Harding Silicon Enterprises, Inc. produces less than 1% of the worlds supply of 32 MB random access memory (RAM) chips for electronic devices.HSEs RAM chips

Harding Silicon Enterprises, Inc. produces less than 1% of the worlds supply of 32 MB random access memory (RAM) chips for electronic devices.HSEs RAM chips perform according to globally accepted performance standards for this type of silicon chip (i.e., its chips are just like every other producers chips).HSE has hired you to do undertake three tasks:

Perform a statistical analysis of its short-run production costs to estimate its total variable cost function, average variable cost function, and marginal cost function.HSE believes its total fixed costs will be $6,500 per month, so you do not need to estimateTFC.

Recommend production levels and forecast profits for two chip price scenarios:

The price of 32 MB RAM chips reaches $62 per chip, and

The price of 32 MB RAM chips falls to $35 per chip.

Determine the price below which HSE should shut down operations in the short run.

HSE provides you with the following cost and output data for the past 19 months. Over this time period, inflation has been so low that you do not need to adjust the cost data for the effects of inflation (the CPI rose only 0.4% over the 19 month time period). Monthly output of chips is given in the second column, which is titled Monthly production of finished product. Costs are reported in seven categories (some are fixed costs and some are variable costs). HINT: Remember, cost items are part of fixed costs if the costs do not vary with output, even though fixed cost items may vary over time.

Cost Items for Harding Silicon Enterprises, Inc.

Month

Monthly production of finished product

Business licenses

& fees

Insurance premiums

Building lease payment

Materials

expenses

Telephone

Energy expenses

Wage expense

Nov-98

875

0

0

3570

9690

945

7230

12250

Dec-98

670

0

0

3570

6700

945

5115

8995

Jan-99

1675

6000

2200

3570

16295

945

12884

23106

Feb-99

1155

0

0

3570

11285

945

9240

15225

Mar-99

1845

0

0

3570

16550

945

14220

24530

Apr-99

1650

0

0

3570

16230

945

12700

21600

May-99

1955

0

0

3570

19626

945

15640

27484

Jun-99

2845

0

0

3570

27410

945

22760

39830

Jul-99

2265

0

2200

3570

20526

945

17244

31225

Aug-99

3470

0

0

3570

34176

830

25760

48564

Sep-99

3665

0

0

3570

36726

830

28720

50094

Oct-99

3750

0

0

3570

42576

830

32000

54474

Nov-99

4595

0

0

3570

48226

830

37260

66414

Dec-99

4060

0

0

3570

41095

830

33155

57840

Jan-00

3575

7200

2450

4200

34550

830

27400

50050

Feb-00

4380

0

0

4200

41800

830

34460

61320

Mar-00

5575

0

0

4200

81750

830

54600

82150

Apr-00

7870

0

0

4200

92360

830

102960

130180

May-00

6750

0

0

4200

89576

830

70000

109774

a. Compute total variable cost (TVC) by adding the appropriate columns of cost items.Compute average variable cost (AVC).[Remember that you are given an estimate of HSEsfuturetotal fixed costs ($6,500 per month).]Print out the 19 months of data on output (Q) and total variable cost (TVC) and average variable cost (AVC).

Plot a scatter diagram ofTVCon the vertical axis andQon the horizontal axis.Does the scatter diagram suggest a functional form forTVC?Explain briefly.

Plot a scatter diagram ofAVCon the vertical axis andQon the horizontal axis.Does the scatter diagram suggest a functional form forAVC?Explain briefly.

Estimate a quadraticAVCfunction.Present the estimated equation and evaluate the regression results (i.e., discuss the algebraic signs of the parameter estimates, the significance levels, and theR2).

Evaluate the results of your regression equation in parta.Specifically discuss algebraic signs of parameters, statistical significance, and goodness of fit.

a. How many chips should be produced (monthly) if world chip prices are $62 per chip?Forecast the HSEs profit at this output level.

How many chips should be produced (monthly) if world chip prices are $35 per chip?Forecast the profit at this output level.

At what price should Harding shut down and produce no chips in the short run?

XYZ Petrochemical is considering three production alternatives. The management of the company has listed three choices as follows:

Expand production by 25 percent.

Maintain the production at current level.

Reduce the production by 10 percent.

For each of the above possible alternatives and the expected state of the economy, the management prepared the following outcome matrix:

Decision

State of the Economy

Boom

Normal

Recession

Expand production by 25%

AED 15 million

AED 3 million

- AED 3 million

Main current production level

AED 9 million

AED 6 million

AED 1.5 million

Reduce production by 10%

AED 6 million

AED 1 million

AED 2.25 million

The management of XYZ does not know exactly which state of the economy will accurately occur or the probabilities of occurrence.

Q1: Explain this situation in terms of risk and uncertainty with proper justification?

Q2: What decision rules are available to make suitable decisions for the above case? Apply these rules and compare the resulting decision in each case?

Q3: Suppose the management was able to predict the likelihood of occurrence for the state of the economy as follows:

Boom: 0.25

Normal: 0.50

Recession: 0.25

Use a proper tool to evaluate the risk that XYZ will face? Assuming that the management is risk averse which alternative will be chosen? Why?

"Answer in all questions

I want the regression out put please and the answers plz help me thank you

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